What is it about?

This paper proposes a model-based technique to exhaustively identify and describe declarative and procedural knowledge, as well as to couple the different types of models in order to ensure the full coverage and consistency of the identification of knowledge required to operate an interactive system. We present the results from the application of the technique on a case study in the space domain.

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Why is it important?

Operators of critical systems (e.g., air traffic controllers, pilots in commercial aircraft, operators managing space vehicle launch…) must acquire specific knowledge before being granted permission to perform their tasks on the job. They acquire such knowledge by following a training program developed for the specific tasks they will be doing. The preparation of their training program requires identifying the knowledge they have to acquire, and in particular, the two main types of knowledge that are declarative knowledge (a set of concepts required to operate a system) and procedural knowledge (a set of tasks required to operate a system).

Perspectives

Future work will investigate how the knowledge identified and coupled by this technique can be integrated into the content of tailored training programmes.

Théo Saubanère
Universite Toulouse III Paul Sabatier

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This page is a summary of: Beyond monkey using: how to identify and model training needs of interactive critical systems operators using an ontology connected with task models EICS020, Proceedings of the ACM on Human-Computer Interaction, June 2026, ACM (Association for Computing Machinery),
DOI: 10.1145/3816772.
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